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Support Data engineering

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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Build reliable data ingestion, transformation and loading (ETL) pipelines

  • Design schemas and relational or dimensional data models

  • Move data between storage systems, formats, or environments

From the employer’s posting
ETL pipeline development: building reliable data ingestion, transformation, and loading processes.
Data modeling: designing schemas, working with relational or dimensional models.
Data migration: moving data between storage systems, formats, or environments.

What you’ll bring

All qualifications

Core experience

  • Strong Python programming skills
  • Working with DataFrames, such as pandas or PySpark DataFrames
  • ETL pipeline development experience
  • Data modeling experience
  • Data migration experience

Preferred experience

  • Python DataFrames, ETL pipelines, data modeling and data migration (listed as preferred extras)
Qualification wording
Python programming with strong proficiency.
DataFrames, especially using libraries like pandas (or PySpark DataFrames).
ETL pipeline development: building reliable data ingestion, transformation, and loading processes.
Data modeling: designing schemas, working with relational or dimensional models.
Data migration: moving data between storage systems, formats, or environments.
Nice-to-Have (Interestingly, these echo the mandatory list, suggesting prioritization of above core skills): Python DataFrames ETL pipelines Data modeling Data migration

Tools in this posting

  • Python
  • pandas
  • PySpark
Source — Tool mentions in context
Python programming with strong proficiency. DataFrames, especially using libraries like pandas (or PySpark DataFrames). ETL pipeline development: building reliable data ingestion, transformation, and loading processes. Data modeling: designing schemas, working with relational or dimensional models. Data migration: moving data between storage systems, formats, or environments. ✨ Nice-to-Have (Interestingly, these echo the mandatory list, suggesting prioritization of above core skills): Python DataFrames ETL pipelines Data modeling Data migration

Posting record

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Open 4 monthsWe first saw this posting 148 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 3, 2026 · 148 days ago
Recorded sightings
229
Last seen by us
Oct 29, 2026
Employer says posted
Jun 19, 2025

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Job description

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Python programming with strong proficiency. DataFrames, especially using libraries like pandas (or PySpark DataFrames). ETL pipeline development: building reliable data ingestion, transformation, and loading processes. Data modeling: designing schemas, working with relational or dimensional models. Data migration: moving data between storage systems, formats, or environments. ✨ Nice-to-Have (Interestingly, these echo the mandatory list, suggesting prioritization of above core skills): Python DataFrames ETL pipelines Data modeling Data migration
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